We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Global Technology Infrastructure Platforms Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsDevelops secure high-quality production code, and reviews and debugs code written by othersIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsLeads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologiesAdds to team culture of diversity, equity, inclusion, and respect

 

 

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years of applied experience.Advanced knowledge of software development with Java and/or Python.Proficient in all aspects of the Software Development Life Cycle.Demonstrated proficiency in software architecture and promoting best software engineering practices.Practical experience with SQL and databases design such as Oracle or other relational databases.Experience building API services with REST and GraphQL.Knowledge of Generative AI, vector stores, LLMs and RAGFrontend development experience with React.Experience with Git, CI/CD pipelines and deployment processes.
 Preferred qualifications, capabilities, and skillsExperiences with NoSQL databases such as ElasticSearch or MongoDB.Practical cloud native experience, AWS.Familiarity with reporting solutions like QlikSense.